A5038412984- Domain Adaptation and Few-Shot Learning
- Membrane Separation and Gas Transport
- Stochastic processes and financial applications
- Genetic Associations and Epidemiology
- Advanced Neural Network Applications
- Face and Expression Recognition
- Machine Learning and Data Classification
- Advanced Vision and Imaging
- Graphene research and applications
- Muon and positron interactions and applications
- Anomaly Detection Techniques and Applications
- Sports, Gender, and Society
- Bioinformatics and Genomic Networks
- Machine Learning and Algorithms
- Sport and Mega-Event Impacts
- Adhesion, Friction, and Surface Interactions
- Remote-Sensing Image Classification
- Fractional Differential Equations Solutions
- Retinal Development and Disorders
- Robotics and Sensor-Based Localization
- Differential Equations and Numerical Methods
- Multimodal Machine Learning Applications
- Metal-Organic Frameworks: Synthesis and Applications
- Membrane Separation Technologies
- Nonlinear Differential Equations Analysis
Purdue University West Lafayette
2020-2025
University of Glasgow
2022-2025
Tianjin University of Commerce
2025
Tianjin University
2025
Dalian University of Technology
2020-2024
University of Manchester
2023-2024
Nanning Normal University
2024
Harbin Institute of Technology
2020-2023
University of Pennsylvania
2023
Lanzhou University of Technology
2023
Cardiovascular health interacts with cognitive and mental in complex ways, yet little is known about the phenotypic genetic links of heart-brain systems. We quantified connections using multiorgan magnetic resonance imaging (MRI) data from more than 40,000 subjects. Heart MRI traits displayed numerous association patterns brain gray matter morphometry, white microstructure, functional networks. identified 80 associated genomic loci (
Abstract The retina, an anatomical extension of the brain, forms physiological connections with visual cortex brain. Although retinal structures offer a unique opportunity to assess brain disorders, their relationship structure and function is not well understood. In this study, we conducted systematic cross-organ genetic architecture analysis eye-brain using imaging endophenotypes. We identified novel phenotypic links between biomarkers measures from multimodal magnetic resonance (MRI),...
Metric-based methods are one of the most common to solve problem few-shot image classification. However, traditional metric-based suffer from overfitting and local feature misalignment. The recently proposed reconstruction-based approach, which reconstructs query features support set a given class compares distance between original reconstructed as classification criterion, effectively solves misalignment problem. issue still has not been considered. To this end, we propose...
Abstract The packing pattern of two‐dimensional (2D) sheet‐like fillers in membranes is relatively random, leading to the unfavorable permeability from tortuous diffusion pathway. A new strategy that using prestructured materials with uniform channels as was proposed. In this work, Ti 3 AlC 2 etched prepare multilayered MXene (m‐MXene), aggregate a whole unit, ensure impossibility ineffective compared traditional individual sheets, largely facilitating selective permeation. Then,...
The application of high-temperature proton exchange membrane fuel cells (HT-PEMFCs) addresses challenges in water management, purity, and overheating under high current density. However, phosphoric acid (PA) migration hinders their development. This study uses synchrotron-based X-ray fluorescence spectroscopy to investigate PA catalyst migration. Interventions with single-layer graphene electrochemically exfoliated oxide improve performance durability. absorption provides insights into...
The operational state of Hermetically Sealed Electromagnetic Relays (HSER) in the aerospace sector involves multiple physical processes, including mechanical, electrical, and magnetic phenomena. efficiency accuracy traditional dynamic characterization methods, which rely on static data tables, are inadequate for meeting demands reliability analysis. T his paper introduces a meshless node flexible body model as foundation multibody dynamics model. It establishes real-time interaction channel...
Plasma protein levels provide important insights into human disease, yet a comprehensive assessment of plasma proteomics across organs is lacking. Using large-scale multimodal data from the UK Biobank, we integrated with organ imaging to map their phenotypic and genetic links, analyzing 2,923 proteins 1,051 traits multiple organs. We uncovered 5,067 protein-imaging associations, identifying both organ-specific organ-shared proteomic relations, along enriched protein-protein interaction...
Polygenic risk scores (PRS) are becoming increasingly vital for prediction and stratification in precision medicine. However, PRS model training presents significant challenges broader adoption of PRS, including limited access to computational resources, difficulties implementing advanced methods, availability privacy concerns over individual-level genetic data. Cloud computing provides a promising solution with centralized data resources. Here we introduce PennPRS ( https://pennprs.org ),...
Abstract Soft machines crafted from stimuli‐responsive materials hold great potential for intelligent autonomous systems. To stably generate a self‐sustainable motion under constant stimuli, it is essential to overcome the challenges of geometric design, physical modeling, and mechanical‐guided parametric study. Here, inspired by classical Möbius strip, threefold machine made humidity‐responsive agarose films proposed. A theoretical model built based on moisture diffusion developable surface...
Abstract As an anatomical extension of the brain, retina eye is synaptically connected to visual cortex, establishing physiological connections between and brain. Despite unique opportunity retinal structures offer for assessing brain disorders, less known about their relationship structure function. Here we present a systematic cross-organ genetic architecture analysis eye-brain using imaging endophenotypes. Novel phenotypic links were identified biomarkers function measures derived from...
The goal of the crime forecasting problem is to predict different types crimes for each geographical region (like a neighborhood or censor tract) in near future. Since nearby regions usually have similar socioeconomic characteristics which indicate patterns, recent state-of-the-art solutions constructed distance-based graph and utilized Graph Neural Network (GNN) techniques forecasting, because GNN could effectively exploit latent relationships between neighboring nodes if edges reveal high...